Multimodal Contactless Biometric Systems: Employing a combination of finger vein and finger knuckle prints in conjunction with deep learning techniques
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Body measurements and mathematical computations relating to human attributes are what are known as biometrics. In the field of computer science, one method of identifying and access control that is utilized is called biometric authentication. Additionally, it is utilized to identify people inside groups that are being monitored by security personnel.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Biometrics
Chapter 2: Authentication
Chapter 3: Fingerprint
Chapter 4: Iris recognition
Chapter 5: Facial recognition system
Chapter 6: Speaker recognition
Chapter 7: Hand geometry
Chapter 8: Password psychology
Chapter 9: Keystroke dynamics
Chapter 10: Card reader
Chapter 11: Biometrics in schools
Chapter 12: Private biometrics
Chapter 13: Aadhaar
Chapter 14: Vein matching
Chapter 15: Biometric points
Chapter 16: E-commerce identification and identification types
Chapter 17: Smudge attack
Chapter 18: Countries applying biometrics
Chapter 19: Identity-based security
Chapter 20: Biometric device
Chapter 21: Identity replacement technology
(II) Answering the public top questions about multimodal contactless biometric systems.
(III) Real world examples for the usage of multimodal contactless biometric systems in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of multimodal contactless biometric systems' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of multimodal contactless biometric systems.
